Hi, here is my table DDL: CREATE TABLE IF NOT EXISTS id_ref ( id1 VARCHAR NOT NULL, value1 VARCHAR,
id2 VARCHAR NOT NULL, value2 VARCHAR CONSTRAINT id_ref_pk PRIMARY KEY (id1, id2) )IMMUTABLE_ROWS=true,SALT_BUCKETS=100, VERSIONS=1, TTL=691200 I'm trying to analyze result of explain: explain select id1, value1, id2, value2 from id_ref where id1 = 'xxx' . . . . . . . . . . . . . . . . . . . . . . .> ; *+------------------------------------------+* *| ** PLAN ** |* *+------------------------------------------+* *| *CLIENT 100-CHUNK PARALLEL 100-WAY RANGE SCAN OVER ID_REF [0,'1fd5c44a75549162ca1602dda55f6d129cab61a6']* |* *| *CLIENT MERGE SORT * |* *+------------------------------------------+* What happens? Client spawns 100 parallel scans (because of bucketing) and waits for 100 responses? Is it effective? What is the right way to optimize such query pattern: "select by first part of primary key"? Reduce the amount of buckets? I get exeption a while after restarting app: *Task org.apache.phoenix.job.JobManager$JobFutureTask@60a40644 rejected from org.apache.phoenix.job.JobManager$1@58e3fe9aRunning, pool size = 128, active threads = 121, queued tasks = 5000, completed tasks = 2629565*
